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Related papers: Large-Scale Avalanche Mapping from SAR Images with…

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Knowledge about frequency and location of snow avalanche activity is essential for forecasting and mapping of snow avalanche hazard. Traditional field monitoring of avalanche activity has limitations, especially when surveying large and…

Image and Video Processing · Electrical Eng. & Systems 2020-11-09 Filippo Maria Bianchi , Jakob Grahn , Markus Eckerstorfer , Eirik Malnes , Hannah Vickers

Snow avalanches present significant risks to human life and infrastructure, particularly in mountainous regions, making effective monitoring crucial. Traditional monitoring methods, such as field observations, are limited by accessibility,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-26 Filippo Maria Bianchi , Jakob Grahn

Satellite remote sensing is playing an increasing role in the rapid mapping of damage after natural disasters. In particular, synthetic aperture radar (SAR) can image the Earth's surface and map damage in all weather conditions, day and…

Current Synthetic Aperture Radar (SAR)-based flood detection methods face critical limitations that hinder operational deployment. Supervised learning approaches require extensive labeled training data, exhibit poor geographical…

Applications · Statistics 2025-10-15 Narumasa Tsutsumida , Tomohiro Tanaka , Nifat Sultana

Mapping land surface disturbances supports disaster response, resource and ecosystem management, and climate adaptation efforts. Synthetic aperture radar (SAR) is an invaluable tool for disturbance mapping, providing consistent time-series…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Harris Hardiman-Mostow , Charles Marshak , Alexander L. Handwerger

Satellite-based Synthetic Aperture Radar (SAR) images can be used as a source of remote sensed imagery regardless of cloud cover and day-night cycle. However, the speckle noise and varying image acquisition conditions pose a challenge for…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Janne Alatalo , Tuomo Sipola , Mika Rantonen

Satellite-based remote sensing is instrumental in the monitoring and mitigation of the effects of anthropogenic climate change. Large scale, high resolution data derived from these sensors can be used to inform intervention and policy…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Matt Allen , Francisco Dorr , Joseph A. Gallego-Mejia , Laura Martínez-Ferrer , Anna Jungbluth , Freddie Kalaitzis , Raúl Ramos-Pollán

Landslides are one of the most critical and destructive geohazards. Widespread development of human activities and settlements combined with the effects of climate change on weather are resulting in a high increase in the frequency and…

Computer Vision and Pattern Recognition · Computer Science 2024-05-31 Tommaso Monopoli , Fabio Montello , Claudio Rossi

Due to its cloud-penetrating capability and independence from solar illumination, satellite Synthetic Aperture Radar (SAR) is the preferred data source for large-scale flood mapping, providing global coverage and including various land…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Jie Zhao , Zhitong Xiong , Xiao Xiang Zhu

With climate change predicted to increase the likelihood of landslide events, there is a growing need for rapid landslide detection technologies that help inform emergency responses. Synthetic Aperture Radar (SAR) is a remote sensing…

Signal Processing · Electrical Eng. & Systems 2022-11-08 Vanessa Boehm , Wei Ji Leong , Ragini Bal Mahesh , Ioannis Prapas , Edoardo Nemni , Freddie Kalaitzis , Siddha Ganju , Raul Ramos-Pollan

Landslides represent a major geohazard with severe impacts on human life, infrastructure, and ecosystems, underscoring the need for accurate and timely detection approaches to support disaster risk reduction. This study proposes a modular,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Ioannis Nasios

In this study the detection of the oil spill using synthetic aperture radar (SAR) imagery is considered. Detection of the oil spill is performed using change detection algorithms between imagery acquired at different times. The specific…

Atmospheric and Oceanic Physics · Physics 2016-04-05 Cihan Bayindir , J. David Frost , Christopher F. Barnes

Synthetic Aperture Radar (SAR) constitutes a fundamental asset for wide-areas monitoring with high-resolution requirements. The first SAR sensors have given rise to coarse coastal and maritime monitoring applications, including oil spill,…

Image and Video Processing · Electrical Eng. & Systems 2019-10-15 Leonardo De Laurentiis , Andrea Pomente , Fabio Del Frate , Giovanni Schiavon

Spaceborne synthetic aperture radar can provide meters scale images of the ocean surface roughness day or night in nearly all weather conditions. This makes it a unique asset for many geophysical applications. Sentinel 1 SAR wave mode…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Nicolae-Catalin Ristea , Andrei Anghel , Mihai Datcu , Bertrand Chapron

Small area change detection from synthetic aperture radar (SAR) is a highly challenging task. In this paper, a robust unsupervised approach is proposed for small area change detection from multi-temporal SAR images using deep learning.…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Xinzheng Zhang , Hang Su , Ce Zhang , Xiaowei Gu , Xiaoheng Tan , Peter M. Atkinson

Snow depth plays a central role in seasonal snowpack characterization and the terrestrial water cycle, yet remains challenging to estimate at high spatial resolution. Recent studies have shown that repeat-pass interferometric synthetic…

Computational Engineering, Finance, and Science · Computer Science 2026-04-21 Nayan Yadav , Shadi Oveisgharan , Shirin Jalali

Lake ice, as part of the Essential Climate Variable (ECV) lakes, is an important indicator to monitor climate change and global warming. The spatio-temporal extent of lake ice cover, along with the timings of key phenological events such as…

Image and Video Processing · Electrical Eng. & Systems 2020-05-08 Manu Tom , Roberto Aguilar , Pascal Imhof , Silvan Leinss , Emmanuel Baltsavias , Konrad Schindler

With changing climatic conditions, we are already seeing an increase in extreme weather events and their secondary consequences, including landslides. Landslides threaten infrastructure, including roads, railways, buildings, and human life.…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Alexandra Jarna Ganerød , Gabriele Franch , Erin Lindsay , Martina Calovi

With its vast expanse, exceeding that of Western Europe by twice, the Amazon rainforest stands as the largest forest of the Earth, holding immense importance in global climate regulation. Yet, deforestation detection from remote sensing…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 Carla Nascimento Neves , Raul Queiroz Feitosa , Mabel X. Ortega Adarme , Gilson Antonio Giraldi

Forests are vital for the wellbeing of our planet. Large and small scale deforestation across the globe is threatening the stability of our climate, forest biodiversity, and therefore the preservation of fragile ecosystems and our natural…

Methodology · Statistics 2022-05-25 Johannes N. Hansen , Edward T. A. Mitchard , Stuart King
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